How to use artifical neural network for 3 phase fault classification

1 view (last 30 days)
Hello Everyone, I am trying to build a neural network based fault detection simulation as in this paper http://www.cired.be/CIRED03/reports/R%203-27.pdf and http://www.iaeng.org/publication/IMECS2008/IMECS2008_pp60-63.pdf. Please help me . I will be very grateful for that.
  1 Comment
claude ndazmikollo
claude ndazmikollo on 3 Nov 2017
The first thing you need to do it's to define your input parameters and your output (which will be the fault studied) Second, collect your data Third, define your input vector and your target vector Lastly, feed those in your neural network, by using the neural fitting tool. In your command windows , type nftool, and upload your data. I hope that will get you started.

Sign in to comment.

Answers (0)

Categories

Find more on Deep Learning Toolbox in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!